{"id":"W2883415616","doi":"10.1002/ecy.2462","title":"A peatland productivity and decomposition parameter database","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Shrub; Biomass (ecology); Peat; Environmental science; Primary production; Evergreen; Carex; Vegetation (pathology); Productivity; Bog; Litter; Vegetation type; Ecology; Forestry; Ecosystem; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008514102,0.0007501581,0.0005315527,0.00648405,0.0003849748,0.0009219179,0.001034878,0.0003259883,0.01145405],"category_scores_gemma":[0.002655132,0.0004415921,0.0005434474,0.005644721,0.0001237969,0.0007826086,0.000513029,0.0003317518,0.006453438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002071578,"about_ca_system_score_gemma":0.003596495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1922981,"about_ca_topic_score_gemma":0.2454273,"domain_scores_codex":[0.9995695,0.00002796199,0.00007999506,0.00008788127,0.000167743,0.00006694988],"domain_scores_gemma":[0.9964419,0.0004463056,0.0003712963,0.0004834574,0.002002407,0.0002546142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008551724,0.0004232645,0.263326,0.001908851,0.0003669407,0.0006609955,0.0004943459,0.05660641,0.008101904,0.006026643,0.3119105,0.349319],"study_design_scores_gemma":[0.0002383463,0.0001329401,0.3781994,0.0004228569,0.000177028,0.0003570026,0.0004915092,0.06953108,0.01002504,0.003533372,0.5366899,0.0002015456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04094417,0.0001559573,0.008469691,0.00002726566,0.000008467775,0.00022009,0.9393919,0.002301473,0.008481017],"genre_scores_gemma":[0.05725029,0.0001702034,0.01265847,0.00002144419,0.000005241105,0.0003543823,0.9260812,0.0002979868,0.003160694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1922981,"threshold_uncertainty_score":0.3823576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028827263646678,"score_gpt":0.2527039821417442,"score_spread":0.2424157095052774,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}